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营养绿色图像数据集:一系列注释营养,有机和素食食品产品

Jan Drole1,2, Igor Pravst3,4,5, Tome Eftimov2

  • 1Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia.

Frontiers in nutrition
|April 10, 2024
PubMed
概括

研究人员开发了NutriGreen数据集,用于训练人工智能检测食品标签,如Nutri-Score,V-label和BIO. 这个数据集通过YOLOv5模型实现了94%的准确性,使得更好的食品包装分析成为可能.

关键词:
这就是BIO BIO.营养分数 - 营养分数在V-label中使用V-label.基准测试数据集中的基准测试数据集.计算机视觉 计算机视觉食品标签检测检测食品标签的检测方法

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